Energy-efficient deep reinforcement learning assisted resource allocation for 5G-RAN slicing
One of the pillars of the 5G architecture is network slicing, in which hardware, radio, and
power resources are virtualized as a logical network taking into account the requirements of …
power resources are virtualized as a logical network taking into account the requirements of …
A two-timescale approach for network slicing in C-RAN
Network slicing is a promising technique for cloud radio access networks (C-RANs). It
enables multiple tenants (ie, service providers) to reserve resources from an infrastructure …
enables multiple tenants (ie, service providers) to reserve resources from an infrastructure …
Reinforcement learning based resource allocation for network slicing in 5G C-RAN
X Wang, T Zhang - 2019 Computing, Communications and IoT …, 2019 - ieeexplore.ieee.org
In network slicing enabled 5G cloud radio access networks (C-RAN), we study the network
slice resource allocation to ensure the differentiated performance requirements of diversified …
slice resource allocation to ensure the differentiated performance requirements of diversified …
Reinforcement learning-based radio access network slicing for a 5G system with support for cellular V2X
HDR Albonda, J Pérez-Romero - … 2019, Poznan, Poland, June 11–12 …, 2019 - Springer
Abstract 5G mobile systems are expected to host a variety of services and applications such
as enhanced mobile broadband (eMBB), massive machine-type communications (mMTC) …
as enhanced mobile broadband (eMBB), massive machine-type communications (mMTC) …
Reinforcement learning for dynamic resource optimization in 5G radio access network slicing
The paper presents a reinforcement learning solution to dynamic resource allocation for 5G
radio access network slicing. Available communication resources (frequency-time blocks …
radio access network slicing. Available communication resources (frequency-time blocks …
An intelligent self-sustained RAN slicing framework for diverse service provisioning in 5G-beyond and 6G networks
Network slicing is a key technology to support the concurrent provisioning of heterogeneous
Quality of Service (QoS) in the 5th Generation (5G)-beyond and the 6th Generation (6G) …
Quality of Service (QoS) in the 5th Generation (5G)-beyond and the 6th Generation (6G) …
Deep reinforcement learning based resource allocation for network slicing with massive MIMO
Network slicing is a critical technology for fifth-generation (5G) networks, owing to its merits
in meeting the diversified requirements of users. Effective resource allocation for network …
in meeting the diversified requirements of users. Effective resource allocation for network …
Dynamic SDN-based radio access network slicing with deep reinforcement learning for URLLC and eMBB services
A Filali, Z Mlika, S Cherkaoui… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Radio access network (RAN) slicing is a key technology that enables 5G network to support
heterogeneous requirements of generic services, namely ultra-reliable low-latency …
heterogeneous requirements of generic services, namely ultra-reliable low-latency …
Toward an efficient and dynamic allocation of radio access network slicing resources for 5G era
X Chang, T Ji, R Zhu, Z Wu, C Li, Y Jiang - IEEE Access, 2023 - ieeexplore.ieee.org
With the development of 5G technology and Internet of Things (IoT), more and more devices
are connected through 5G wirelessly. Radio access network (RAN) slicing, as a key feature …
are connected through 5G wirelessly. Radio access network (RAN) slicing, as a key feature …
Multi-agent deep reinforcement learning for slicing and admission control in 5G C-RAN
M Sulaiman, A Moayyedi… - NOMS 2022-2022 …, 2022 - ieeexplore.ieee.org
5G Cloud Radio Access Networks (C-RANs) facilitate new forms of flexible resource
management as dynamic RAN function splitting and placement. Virtualized RAN functions …
management as dynamic RAN function splitting and placement. Virtualized RAN functions …